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I know that accessing something from an array takes O(1) time if it is of one type using mathematical formula array[n]=(start address of array + (n * size Of(type)), but Assume you have an array of objects. These objects could have any number of fields including nested objects. Can we consider the access time to be constant?
Edit- I am mainly asking for JAVA, but I would like to know if there is a difference in case I choose another mainstream language like python, c++, JavaScript etc.
For example in the below code
class tryInt{
int a;
int b;
String s;
public tryInt(){
a=1;
b=0;
s="Sdaas";
}
}
class tryobject{
public class tryObject1{
int a;
int b;
int c;
}
public tryobject(){
tryObject1 o=new tryObject1();
sss="dsfsdf";
}
String sss;
}
public class Main {
public static void main(String[] args) {
System.out.println("Hello World!");
Object[] arr=new Object[5];
arr[0]=new tryInt();
arr[1]=new tryobject();
System.out.println(arr[0]);
System.out.println(arr[1]);
}
}
I want to know that since the tryInt type object should take less space than tryobject type object, how will an array now use the formula array[n]=(start address of array + (n * size Of(type)) because the type is no more same and hence this formula should/will fail.
The answer to your question is it depends.
If it's possible to random-access the array when you know the index you want, yes, it's a O(1) operation.
On the other hand, if each item in the array is a different length, or if the array is stored as a linked list, it's necessary to start looking for your element at the beginning of the array, skipping over elements until you find the one corresponding to your index. That's an O(n) operation.
In the real world of working programmers and collections of data, this O(x) stuff is inextricably bound up with the way the data is represented.
Many people reserve the word array to mean a randomly accessible O(1) collection. The pages of a book are an array. If you know the page number you can open the book to the page. (Flipping the book open to the correct page is not necessarily a trivial operation. You may have to go to your library and find the right book first. The analogy applies to multi-level computer storage ... hard drive / RAM / several levels of processor cache)
People use list for a sequentially accessible O(n) collection. The sentences of text on a page of a book are a list. To find the fifth sentence, you must read the first four.
I mention the meaning of the words list and array here for an important reason for professional programmers. Much of our work is maintaining existing code. In our justifiable rush to get things done, sometimes we grab the first collection class that comes to hand, and sometimes we grab the wrong one. For example, we might grab a list O(n) rather than an array O(1) or a hash O(1, maybe). The collection we grab works well for our tests. But, boom!, performance falls over just when the application gets successful and scales up to holding a lot of data. This happens all the time.
To remedy that kind of problem we need a practical understanding of these access issues. I once inherited a project with a homegrown hashed dictionary class that consumed O(n cubed) when inserting lots of items into the dictionary. It took a lot of digging to get past the snazzy collection-class documentation to figure out what was really going on.
In Java, the Object type is a reference to an object rather than an object itself. That is, a variable of type Object can be thought of as a pointer that says “here’s where you should go to find your Object” rather than “I am an actual, honest-to-goodness Object.” Importantly, the size of this reference - the number of bytes used up - is the same regardless of what type of thing the Object variable refers to.
As a result, if you have an Object[], then the cost of indexing into that array is indeed O(1), since the entries in that array are all the same size (namely, the size of an object reference). The sizes of the objects being pointed at might not all be the same, as in your example, but the pointers themselves are always the same size and so the math you’ve given provides a way to do array indexing in constant time.
The answer depends on context.
It's really common in some textbooks to treat array access as O(1) because it simplifies analysis.
And in fairness it is O(1) cpu instructions in today's architectures.
But:
As the dataset gets larger tending to infinity, it doesn't fit in memory. If the "array" is implemented as a database structure spread across multiple machines, you'll end up with a tree structure and probably have logarithmic worst case access times.
If you don't care about data size going to infinity, then big O notation may not be the right fit for your situation
On real hardware, memory accesses are not all equal -- there are many layers of caches and cache misses cost hundreds or thousands of cycles. The O(1) model for memory access tends to ignore that
In theory work, random access machines access memory in O(1), but turing machines cannot. Hierarchical cache effects tend to be ignored. Some models like transdichotomous RAM try to account for this.
In short, this is a property of your model of computation. There are many valid and interesting models of computation and what to choose depends on your needs and your situation.
In general. array denotes a fixed-size memory range, storing elements of the same size. If we consider this usual concept of array, then if objects are members of the array, then under the hood your array stores the object references and referring the i'th element in your array you find the reference of the object/pointer it contains, with an O(1) complexity and the address it points to is something the language is to find.
However, there are arrays which do not comply to this definition. For example, in Javascript you can easily add items to the array, which makes me think that in Javascript the arrays are somewhat different from an allocated fixed-sized range of elements of the same size/type. Also, in Javascript you can add any types of elements to an array. So, in general I would say the complexity is O(1), but there are quite a few important exceptions from this rule, depending on the technologies.
In declaring an array in VB, would you ever leave the zero element empty and adjust the code to make it more user friendly?
This is for Visual Basic 2008
No, I wouldn't do that. It seems like it might help maintainability, but that's a very short-sighted view.
Think about it this way. It only takes each programmer who has to understand and maintain the code a short amount of time to get comfortable with zero-indexed arrays. But if you're using one-based arrays, which are unlike those found in almost all other VB.NET code, and in fact almost every other common programming language, it will take everyone on the team much longer. They'll be constantly making mistakes, tripping up because their natural assumptions aren't accurate in this one special case.
I know how it feels. When I worked in VB 6, I loved one-based arrays. They were very natural for the type of data that I was storing, and I used them all over the place. Perfectly documentable here, because you have an explicit syntax to specify the upper and lower bounds of the array. That's not the case in VB.NET (which is a newer, but incompatible version of the Visual Basic language), where all arrays have to be zero-indexed. I had a hard time switching to VB.NET's zero-based arrays for the first couple of days. After that initial period of adjustment, I can honestly say I've never looked back.
Some might argue that leaving the first element of every array empty would consume extra memory needlessly. While that's obviously true, I think it's a secondary reason behind the one I presented above. Good developers write code for others to read, so I commend you for considering how to make your code logical and understandable. You're on the right path by asking this question. But in the long run, I don't think this decision is a good one.
There might be a handful of exceptions in very specific cases, depending on the type of data that you're storing in the array. But again, failing to do this across the board seems like it would hurt readability in the aggregate, rather than helping it. It's not particularly counter-intuitive to simply write the following, once you've learned how arrays are indexed:
For i As Integer = 0 To (myArray.Length - 1)
'Do work
Next
And remember that in VB.NET, you can also use the For Each statement to iterate through your array elements, which many people find more readable. For example:
For Each i As Integer In myArray
'Do work
Next
First, it is about programmer friendly, not user friendly. User will never know the code is 0-based or 1-based.
Second, 0-based is the default and will be used more and more.
Third, 0-based is more natural to computer. From the very element, it has two status, 0 and 1, not 1 and 2.
I have upgraded a couple of VB6 projects to vb.net. To modify to 0-based array in the beginning is better than to debug the code a later time.
Most of my VB.Net arrays are 0-based and every element is used. That's usual in VB.Net and code mustn't surprise the reader. Readability is vital.
Any exceptions? Maybe if I had a program ported from VB6, so it used 0-based arrays with unused initial elements, and it needed a small change, I might match the pattern of the existing code. Least surprise again.
99 times out of 100 the question shouldn't arise because you should be using List(Of T) rather than an array!
Who are the "users" that are going to see the array indexes? Any good developer will be able to handle a zero-indexed array and no real user should ever see them. If the user has to interact with the array, then make an actually user-friendly system for doing so (text or a 1-based virtual index or whatever is called for).
In visual basic is it possible to declare an array starting from 1, if you find inconvenient to use a 0 based array.
Dim array(1 to 10) as Integer
It is just a matter of tastes. I use 1 based arrays in visual basic but 0 based arrays in C ;)
Is there a way to create an array/slice in Go without a hard-coded array size? Why is List ignored?
In all the languages I've worked with extensively: Delphi, C#, C++, Python - Lists are very important because they can be dynamically resized, as opposed to arrays.
In Golang, there is indeed a list.Liststruct, but I see very little documentation about it - whether in Go By Example or the three Go books that I have - Summerfield, Chisnal and Balbaert - they all spend a lot of time on arrays and slices and then skip to maps. In souce code examples I also find little or no use of list.List.
It also appears that, unlike Python, Range is not supported for List - big drawback IMO. Am I missing something?
Slices are lovely, but they still need to be based on an array with a hard-coded size. That's where List comes in.
Just about always when you are thinking of a list - use a slice instead in Go. Slices are dynamically re-sized. Underlying them is a contiguous slice of memory which can change size.
They are very flexible as you'll see if you read the SliceTricks wiki page.
Here is an excerpt :-
Copy
b = make([]T, len(a))
copy(b, a) // or b = append([]T(nil), a...)
Cut
a = append(a[:i], a[j:]...)
Delete
a = append(a[:i], a[i+1:]...) // or a = a[:i+copy(a[i:], a[i+1:])]
Delete without preserving order
a[i], a = a[len(a)-1], a[:len(a)-1]
Pop
x, a = a[len(a)-1], a[:len(a)-1]
Push
a = append(a, x)
Update: Here is a link to a blog post all about slices from the go team itself, which does a good job of explaining the relationship between slices and arrays and slice internals.
I asked this question a few months ago, when I first started investigating Go. Since then, every day I have been reading about Go, and coding in Go.
Because I did not receive a clear-cut answer to this question (although I had accepted one answer) I'm now going to answer it myself, based on what I have learned, since I asked it:
Is there a way to create an array /slice in Go without a hard coded
array size?
Yes. Slices do not require a hard coded array to slice from:
var sl []int = make([]int, len, cap)
This code allocates slice sl, of size len with a capacity of cap - len and cap are variables that can be assigned at runtime.
Why is list.List ignored?
It appears the main reasons list.List seem to get little attention in Go are:
As has been explained in #Nick Craig-Wood's answer, there is
virtually nothing that can be done with lists that cannot be done
with slices, often more efficiently and with a cleaner, more
elegant syntax. For example the range construct:
for i := range sl {
sl[i] = i
}
cannot be used with list - a C style for loop is required. And in
many cases, C++ collection style syntax must be used with lists:
push_back etc.
Perhaps more importantly, list.List is not strongly typed - it is very similar to Python's lists and dictionaries, which allow for mixing various types together in the collection. This seems to run contrary
to the Go approach to things. Go is a very strongly typed language - for example, implicit type conversions never allowed in Go, even an upCast from int to int64 must be
explicit. But all the methods for list.List take empty interfaces -
anything goes.
One of the reasons that I abandoned Python and moved to Go is because
of this sort of weakness in Python's type system, although Python
claims to be "strongly typed" (IMO it isn't). Go'slist.Listseems to
be a sort of "mongrel", born of C++'s vector<T> and Python's
List(), and is perhaps a bit out of place in Go itself.
It would not surprise me if at some point in the not too distant future, we find list.List deprecated in Go, although perhaps it will remain, to accommodate those rare situations where, even using good design practices, a problem can best be solved with a collection that holds various types. Or perhaps it's there to provide a "bridge" for C family developers to get comfortable with Go before they learn the nuances of slices, which are unique to Go, AFAIK. (In some respects slices seem similar to stream classes in C++ or Delphi, but not entirely.)
Although coming from a Delphi/C++/Python background, in my initial exposure to Go I found list.List to be more familiar than Go's slices, as I have become more comfortable with Go, I have gone back and changed all my lists to slices. I haven't found anything yet that slice and/or map do not allow me to do, such that I need to use list.List.
I think that's because there's not much to say about them as the container/list package is rather self-explanatory once you absorbed what is the chief Go idiom for working with generic data.
In Delphi (without generics) or in C you would store pointers or TObjects in the list, and then cast them back to their real types when obtaining from the list. In C++ STL lists are templates and hence parameterized by type, and in C# (these days) lists are generic.
In Go, container/list stores values of type interface{} which is a special type capable to represent values of any other (real) type—by storing a pair of pointers: one to the type info of the contained value, and a pointer to the value (or the value directly, if it's size is no greater than the size of a pointer). So when you want to add an element to the list, you just do that as function parameters of type interface{} accept values coo any type. But when you extract values from the list, and what to work with their real types you have to either type-asert them or do a type switch on them—both approaches are just different ways to do essentially the same thing.
Here is an example taken from here:
package main
import ("fmt" ; "container/list")
func main() {
var x list.List
x.PushBack(1)
x.PushBack(2)
x.PushBack(3)
for e := x.Front(); e != nil; e=e.Next() {
fmt.Println(e.Value.(int))
}
}
Here we obtain an element's value using e.Value() and then type-assert it as int a type of the original inserted value.
You can read up on type assertions and type switches in "Effective Go" or any other introduction book. The container/list package's documentation summaries all the methods lists support.
Note that Go slices can be expanded via the append() builtin function. While this will sometimes require making a copy of the backing array, it won't happen every time, since Go will over-size the new array giving it a larger capacity than the reported length. This means that a subsequent append operation can be completed without another data copy.
While you do end up with more data copies than with equivalent code implemented with linked lists, you remove the need to allocate elements in the list individually and the need to update the Next pointers. For many uses the array based implementation provides better or good enough performance, so that is what is emphasised in the language. Interestingly, Python's standard list type is also array backed and has similar performance characteristics when appending values.
That said, there are cases where linked lists are a better choice (e.g. when you need to insert or remove elements from the start/middle of a long list), and that is why a standard library implementation is provided. I guess they didn't add any special language features to work with them because these cases are less common than those where slices are used.
From: https://groups.google.com/forum/#!msg/golang-nuts/mPKCoYNwsoU/tLefhE7tQjMJ
It depends a lot on the number of elements in your lists,
whether a true list or a slice will be more efficient
when you need to do many deletions in the 'middle' of the list.
#1
The more elements, the less attractive a slice becomes.
#2
When the ordering of the elements isn't important,
it is most efficient to use a slice and
deleting an element by replacing it by the last element in the slice and
reslicing the slice to shrink the len by 1
(as explained in the SliceTricks wiki)
So
use slice
1. If order of elements in list is Not important, and you need to delete, just
use List swap the element to delete with last element, & re-slice to (length-1)
2. when elements are more (whatever more means)
There are ways to mitigate the deletion problem --
e.g. the swap trick you mentioned or
just marking the elements as logically deleted.
But it's impossible to mitigate the problem of slowness of walking linked lists.
So
use slice
1. If you need speed in traversal
Unless the slice is updated way too often (delete, add elements at random locations) the memory contiguity of slices will offer excellent cache hit ratio compared to linked lists.
Scott Meyer's talk on the importance of cache..
https://www.youtube.com/watch?v=WDIkqP4JbkE
list.List is implemented as a doubly linked list. Array-based lists (vectors in C++, or slices in golang) are better choice than linked lists in most conditions if you don't frequently insert into the middle of the list. The amortized time complexity for append is O(1) for both array list and linked list even though array list has to extend the capacity and copy over existing values. Array lists have faster random access, smaller memory footprint, and more importantly friendly to garbage collector because of no pointers inside the data structure.
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Arrays, What’s the point?
I tried to ask this question before in What is the difference between an array and a list? but my question was closed before reaching a conclusive answer (more about that).
I'm trying to understand what is really meant by the word "array" in computer science. I am trying to reach an answer not have a discussion as per the spirit of this website. What I'm asking is language agnostic but you may draw on your knowledge of what arrays are/do in various languages that you've used.
Ways of thinking about this question:
Imagine you're designing a new programming language and you decide to implement arrays in it; what does that mean they do? What will the properties and capabilities of those things be. If it depends on the type of language, how so?
What makes an array an array?
When is an array not an array? When it is, for example, a list, vector, table, map, or collection?
It's possible there isn't one precise definition of what an array is, if that is the case then are there any standard or near-standard assumptions or what an array is? Are there any common areas at least? Maybe there are several definitions, if that is the case I'm looking for the most precision in each of them.
Language examples:
(Correct me if I'm wrong on any of these).
C arrays are contiguous blocks of memory of a single type that can be traversed using pointer arithmetic or accessed at a specific offset point. They have a fixed size.
Arrays in JavaScript, Ruby, and PHP, have a variable size and can store an object/scalar of any type they can also grow or have elements removed from them.
PHP arrays come in two types: numeric and associative. Associative arrays have elements that are stored and retrieved with string keys. Numeric arrays have elements that are stored and retrieved with integers. Interestingly if you have: $eg = array('a', 'b', 'c') and you unset($eg[1]) you still retrieve 'c' with $eg[2], only now $eg[1] is undefined. (You can call array_values() to re-index the array). You can also mix string and integer keys.
At this stage of sort of suspecting that C arrays are the only true array here and that strictly-speaking for an array to be an array it has to have all the characteristics I mention in that first bullet point. If that's the case then — again these are suspicions that I'm looking to have confirmed or rejected — arrays in JS and Ruby are actually vectors, and PHP arrays are probably tables of some kind.
Final note: I've made this community wiki so if answers need to be edited a few times in lieu of comments, go ahead and do that. Consensus is in order here.
It is, or should be, all about abstraction
There is actually a good question hidden in there, a really good one, and it brings up a language pet peeve I have had for a long time.
And it's getting worse, not better.
OK: there is something lowly and widely disrespected Fortran got right that my favorite languages like Ruby still get wrong: they use different syntax for function calls, arrays, and attributes. Exactly how abstract is that? In fortran function(1) has the same syntax as array(1), so you can change one to the other without altering the program. (I know, not for assignments, and in the case of Fortran it was probably an accident of goofy punch card character sets and not anything deliberate.)
The point is, I'm really not sure that x.y, x[y], and x(y) should have different syntax. What is the benefit of attaching a particular abstraction to a specific syntax? To make more jobs for IDE programmers working on refactoring transformations?
Having said all that, it's easy to define array. In its first normal form, it's a contiguous sequence of elements in memory accessed via a numeric offset and using a language-specific syntax. In higher normal forms it is an attribute of an object that responds to a typically-numeric message.
array |əˈrā|
noun
1 an impressive display or range of a particular type of thing : there is a vast array of literature on the topic | a bewildering array of choices.
2 an ordered arrangement, in particular
an arrangement of troops.
Mathematics: an arrangement of quantities or symbols in rows and columns; a matrix.
Computing: an ordered set of related elements.
Law: a list of jurors empaneled.
3 poetic/literary elaborate or beautiful clothing : he was clothed in fine array.
verb
[ trans. ] (usu. be arrayed) display or arrange (things) in a particular way : arrayed across the table was a buffet | the forces arrayed against him.
[ trans. ] (usu. be arrayed in) dress someone in (the clothes specified) : they were arrayed in Hungarian national dress.
[ trans. ] Law empanel (a jury).
ORIGIN Middle English (in the senses [preparedness] and [place in readiness] ): from Old French arei (noun), areer (verb), based on Latin ad- ‘toward’ + a Germanic base meaning ‘prepare.’
From FOLDOC:
array
1. <programming> A collection of identically typed data items
distinguished by their indices (or "subscripts"). The number
of dimensions an array can have depends on the language but is
usually unlimited.
An array is a kind of aggregate data type. A single
ordinary variable (a "scalar") could be considered as a
zero-dimensional array. A one-dimensional array is also known
as a "vector".
A reference to an array element is written something like
A[i,j,k] where A is the array name and i, j and k are the
indices. The C language is peculiar in that each index is
written in separate brackets, e.g. A[i][j][k]. This expresses
the fact that, in C, an N-dimensional array is actually a
vector, each of whose elements is an N-1 dimensional array.
Elements of an array are usually stored contiguously.
Languages differ as to whether the leftmost or rightmost index
varies most rapidly, i.e. whether each row is stored
contiguously or each column (for a 2D array).
Arrays are appropriate for storing data which must be accessed
in an unpredictable order, in contrast to lists which are
best when accessed sequentially. Array indices are
integers, usually natural numbers, whereas the elements of
an associative array are identified by strings.
2. <architecture> A processor array, not to be confused with
an array processor.
Also note that in some languages, when they say "array" they actually mean "associative array":
associative array
<programming> (Or "hash", "map", "dictionary") An array
where the indices are not just integers but may be
arbitrary strings.
awk and its descendants (e.g. Perl) have associative
arrays which are implemented using hash coding for faster
look-up.
If you ignore how programming languages model arrays and lists, and ignore the implementation details (and consequent performance characteristics) of the abstractions, then the concepts of array and list are indistinguishable.
If you introduce implementation details (still independent of programming language) you can compare data structures like linked lists, array lists, regular arrays, sparse arrays and so on. But then you are not longer comparing arrays and lists per se.
The way I see it, you can only talk about a distinction between arrays and lists in the context of a programming language. And of course you are then talking about arrays and lists as supported by that language. You cannot generalize to any other language.
In short, I think this question is based on a false premise, and has no useful answer.
EDIT: in response to Ollie's comments:
I'm not saying that it is not useful to use the words "array" and "list". What I'm saying is the words do not and cannot have precise and distinct definitions ... except in the context of a specific programming language. While you would like the two words to have distinct meaning, it is a fact that they don't. Just take a look at the way the words are actually used. Furthermore, trying to impose a new set of definitions on the world is doomed to fail.
My point about implementation is that when we compare and contrast the different implementations of arrays and lists, we are doing just that. I'm not saying that it is not a useful thing to do. What I am saying is that when we compare and contrast the various implementations we should not get all hung up about whether we call them arrays or lists or whatever. Rather we should use terms that we can agree on ... or not use terms at all.
To me, "array" means "ordered collection of things that is probably efficiently indexable" and "list" means "ordered collection of things that may be efficiently indexable". But there are examples of both arrays and lists that go against the trend; e.g. PHP arrays on the one hand, and Java ArrayLists on the other hand. So if I want to be precise ... in a language-agnostic context, I have to talk about "C-like arrays" or "linked lists" or some other terminology that makes it clear what data structure I really mean. The terms "array" and "list" are of no use if I want to be clear.
An array is an ordered collection of data items indexed by integer. It is not possible to be certain of anything more. Vote for this answer you believe this is the only reasonable outcome of this question.
An array:
is a finite collection of elements
the elements are ordered, and this is their only structure
elements of the same type
supported efficient random access
has no expectation of efficient insertions
may or may not support append
(1) differentiates arrays from things like iterators or generators. (2) differentiates arrays from sets. (3) differentiates arrays from things like tuples where you get an int and a string. (4) differentiates arrays from other types of lists. Maybe it's not always true, but a programmer's expectation is that random access is constant time. (5) and (6) are just there to deny additional requirements.
I would argue that a real array stores values in contiguous memory. Anything else is only called an array because it can be used like array, but they aren't really ("arrays" in PHP are definately not actual arrays (non-associative)). Vectors and such are extensions of arrays, adding additional functionality.
an array is a container, and the objects it holds have no any relationships except the order; the objects are stored in a continuous space abstractly (high level, of course low level may continuous too), so you could access them by slot[x,y,z...].
for example, per array[2,3,5,7,1], you could get 5 using slot[2] (slot[3] in some languages).
for a list, a container too, each object (well, each object-holder exactly such as slot or node) it holds has indicators which "point" to other object(s) and this is the main relationship; in general both high or low level the space is not continuous, but may be continuous; so accessing by slot[x,y,z...] is not recommended.
for example, per |-2-3-5-7-1-|, you need to do a travel from first object to 3rd one to get 5.
I totally understand the purpose of arrays, yet I do not feel I have "mastered" them. Does anyone have some really good problems or readings involving arrays. I program in PHP and C++ so if there are examples with those languages that would be preferable but is not necessary.
Draw everything out on graph paper.
Memory is just little boxes, it's a lot clearer to see on paper with a few arrows than in some complex markup language
Define 'mastered'.
Does anyone have some really good problems or readings involving arrays.
Try array based
Linked-list implementation.
Implement stacks, queues, etc and then use stack(s) to emulate a queue etc
Heaps
A lot of people seem to struggle with the concept of arrays at first, particularly arrays of >2 dimensions.
It's a little too abstract. However, getting past that initial block just requires a concrete exploration of the mechanics. So, here's an example I've used a lot that shows the basic mechanics in a nerd-friendly way:
Concrete Example (in psuedocode)
Let's say you're building a role playing game and you want to keep track of your character's stats. You could use an array of integers like this:
Stats(0) could be strength
Stats(1) could be dexterity
Stats(2) could be intelligence
...And so on.
Now let's add a level of complexity. Maybe we want to introduce a potion of strength that increases strength by 5 for 10 turns. We could represent the stat side of that by making this into a 2-dimensional array:
Stats(0, 0) - this is my current strength.
Stats(0, 1) - this is my normal strength.
Stats(0, 2) - this is the number of turns until the strength potion wears off.
Stats(1, 0) - this is my current dexterity.
...And so on. You get the idea.
So I've added a 2nd dimension to hold details about the 1st dimension. What if I wanted our Stats array to handle statistics for more than one character? I could represent that by making this into a 3-dimensional array:
Stats(0, 0, 0) - character 0's current strength.
Stats(1, 1, 0) - character 1's current dexterity.
It would be even better to create some constants or enums to eliminate magic numbers from the code:
Const Strength = 0
Const Dexterity = 1
Const Intelligence = 2
Const CurrentValue = 0
Const NormalValue = 1
Const PotionTurns = 2
Then I could do:
Stats(1, Dexterity, NormalValue) = 5 'For character 1, set the normalvalue of dex to 5.
A few more thoughts about arrays... At least in the .Net world where I live, most of us don't have to use them in our day-to-day lives too often because they're slowly being relegated to underpinnings for more elaborate data structures like collections.
In fact, if I were to implement character stats, realistically I would not use arrays.
However, it's still important to get your head around them because they are rocket-fast and there are definitely cases where they're invaluable.
Try manually (no built in methods) sorting with arrays (bubblesort is a good one to get yourself going)
An array is a contiguous block of memory devoted to N items of the same type, where N is a fixed number indicating the number of items. In order to expand an array (as they are fixed in size), you can use the C function realloc(..). In C++, you can manually re-allocate an array by creating a new, larger array and copying the contents of the old array into the new one (an expensive operation).
Modern languages have options that supplant arrays (so as to overcome the inherent limitations of arrays). In C++, you can use the Standard Template Library (STL) for this purpose; the STL "vector" data type is a typical replacement for standard arrays in C++. Platform-dependent APIs like MFC have built-in constructs like the CArrayList for a richer array usage experience. ;-)
I'm going to try to explain the best i can arrays in their fundamental form.
Ok, so an array is basically a way to store data. For instance if you want a list of shopping items, we would use a one dimensional array:
[0] - "Bread"
[1] - "Milk"
[2] - "Eggs"
[3] - "Butter"
.
.
.
[n] - "Candy"
Each index 0,1,2,3,...n holds a specific data. The data as you can see are represented as Strings. Now i can't use something like :
[n+1] = 1000
because this will put an integer as index n+1, the compiler will tell you that it's no good and you need to fix that issue.
Moving on to matrices or 2-dimensional arrays. Take a piece of squared paper like the ones you use for math and draw a Cartesian system and some dots. Put the coordinates on different piece of paper and next to them put a 1. For example:
[0,0] = 1
[0,1] = 1
[2,3] = 1
What this means is that at index [0,0],[0,1],[2,3] i have 1. A representation would be like so:
Cartesian System in form of a matrices :
1) 2) 3)
1) 1 1 0
2) 0 0 1
3) 0 0 0
I used just simple arrays to illustrate what are they, for example if you want to go 3D the data structure for that would be a array of matrices aka a list which holds each Cartesian location at a specific height.
If we had 10 as height and the same dots as above it would be something like:
[10,0,0] - 1
[10,0,1] - 1
[10,2,3] - 1
If you want a way to master: grab a simple list of problems and try to implement them using arrays of any kind. There is no quick way to do it, just have patience and practice.
Alright, so a one-dimensional array is just a grouping of variables. Useful if you've got a lot of something, and you like to save time and space. Functionally,
element1:=5;
element2:=6;
element3:=7;
...
is the same as saying
element[1]:=5;
element[2]:=6;
element[3]:=7;
...
except now the computer knows what you're talking about and you can write something like:
for i:=1 to n do
element[i]:=element[i]+1;
Moving on, a two dimensional array is somewhat more complicated, but can be thought of as an array of arrays. So we could have something like this:
type
arrayA=array[1..50] of integer;
arrayB=array[1..50] of arrayA;
arrayB=array[1..50,1..50] of integer; //an equivalent declaration in Pascal to the above two
More specifically, a two-dimensional array is a table. So for example, if arrayA contains the grades of a student in 50 classes, then arrayB represents the grades of a bunch of students. So, arrayB[3,5] would be the grade of the third student on class number 3.
It's easy to expand the same logic to add another dimension to the array:
arrayC=array[1..50] of arrayB;
We could say that C represents a school, so arrayC[2,4,6] is the grade of the second schools fourth student in class 6.
Now, what are arrays used for? Storing groups of similar information, or information which'll need to be processed in bulk. In practice, though, you'll mostly be using a one-, at most two-, dimensional array. If you can imagine your data as a table, you'll almost definitely want an two-dimensional array, for example. How else would you represent a chess board, if you had to?
Three-dimensional arrays tend to be used less, but what if you had to save some sort of state for each of your table elements? Something like:
Table=array[1..50, 1..50, 0..1] of integer;
Then the third value is 1 if some condition is true for a given element, and 0 otherwise. Of course, a trivial example, but it's another way of understand three-dimensional arrays more easily.