• SpaceNoodle@lemmy.world
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    1 year ago

    It’s a dynamically-sized list of objects of the same type stored contiguously in memory.

      • Fosheze@lemmy.world
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        1 year ago

        It’s a dynamically-sized list of objects of the same type stored contiguously in memory.

        dynamically-sized: The size of it can change as needed.

        list: It stores multiple things together.

        object: A bit of programmer defined data.

        of the same type: all the objects in the list are defined the same way

        stored contigiously in memory: if you think of memory as a bookshelf then all the objects on the list would be stored right next to each other on the bookshelf rather than spread across the bookshelf.

        • kbotc@lemmy.world
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          1 year ago

          Dynamically sized but stored contiguously makes the systems performance engineer in me weep. If the lists get big, the kernel is going to do so much churn.

      • KidnappedByKitties@lemm.ee
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        1 year ago

        This is such an understated but useful description in this context. It’s also how I understood algebra for applied matrix computation.

        • Leate_Wonceslace@lemmy.dbzer0.com
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          1 year ago

          I was just coming down from THC when I wrote this, so I’m extra jazzed you liked it. 😁

          Edit: also, love the username.

      • unalivejoy@lemm.ee
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        1 year ago

        No. ArrayList is thread safe and implements the collections API. Vector doesn’t. Though if you’re using Java, there’s almost no instance where you would want to use a Vector instead of ArrayList.

            • DaPorkchop_@lemmy.ml
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              1 year ago

              Only if one thread modifies it while another one is iterating over it, if two threads try to modify the list at once there isn’t any kind of synchronization and it really could break your list.

    • Eatspancakes84@lemmy.world
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      1 year ago

      The only correct answer for a 101 introduction. It’s an incredible powerful intuition even in contexts where vectors are seemingly used as a list of numbers.

    • solarbabies@lemmy.world
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      1 year ago

      Yes, and as linear algebra teaches, to convert a vector from direction and magnitude to a list of numbers (components), follow these steps:

      1. Let the magnitude of the vector be represented by the symbol |A| or A.
      2. Let the direction of the vector be represented by the angle θ, which is measured counterclockwise from the positive x-axis.
      3. The x-component of the vector is given by: Ax = |A| cos(θ)
      4. The y-component of the vector is given by: Ay = |A| sin(θ)

      The vector can now be represented as a list of numbers: A = (Ax, Ay)

      For example, if a vector has a magnitude of 5 units and a direction of 30° counterclockwise from the positive x-axis, its components would be:

      Ax = 5 cos(30°) ≈ 4.33 units Ay = 5 sin(30°) ≈ 2.50 units

      The vector can now be written as A = (4.33, 2.50)

      source

  • model_tar_gz@lemmy.world
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    1 year ago

    Ooh, do tensors next!

    You should ask your biologist friend and your physicist friend and your compsci friend to debate about what vectors are. Singularities, too.

    • chonglibloodsport@lemmy.world
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      1 year ago

      Not always. Any m by n matrix is also a vector. Polynomials are vectors. As are continuous functions.

      A vector is an element of a vector space over a field. These are sets which have a few operations, vector addition and scalar multiplication, and obey some well known rules, such as the existence of a zero vector (identity for vector addition), associativity and commutativity of vector addition, distributivity of scalar multiplication over vector sums, that sort of thing!

      These basic properties give rise to more elaborate concepts such as linear independence, spanning sets, and the idea of a basis, though not all vector spaces have a finite basis.

        • chonglibloodsport@lemmy.world
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          1 year ago

          Your polynomial, f(x) = a + bx +cx^2 + dx^3, is an element of the vector space P3®, the polynomial vector space of degree at most 3 over the reals. This space is isomorphic to R^4 and it has a standard basis: {1, x, x^2, x^3}. Then you can see that any such f(x) may be written as a linear combination of the basis vectors with real valued scalars.

          As an exercise, you can check that P3® satisfies some of the properties of vector spaces yourself (existence of zero vector, associativity and commutativity of vector addition, distributivity of scalar multiplication over vector sums).

          • i_love_FFT@lemmy.ml
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            1 year ago

            What happens to elements with powers of x above 3? Say we multiply the example vector above with itself. We would end up with a component d2x6, witch is not part of the P3R vector space, right?

            Do we need a special multiplication rule to handle powers of x above 3? I’ve worked with quaternions before, which has " special" multiplication rules by defining i j and k.

            • chonglibloodsport@lemmy.world
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              1 year ago

              Multiplication of two vectors is not an operation defined on vector spaces. If you want that, you’re looking at either a structure known as an inner product space or an algebra over a field.

              Note that the usual notion of polynomial multiplication doesn’t apply to polynomial vector spaces, nor does it agree with the definition of an inner product nor the bilinear product of an algebra.

  • unalivejoy@lemm.ee
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    1 year ago

    I asked my math friend. He said a vector is magnitude plus velocity.

  • kaffiene@lemmy.world
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    1 year ago

    This might hit harder if it weren’t for the fact that words very can have multiple senses

  • Kaboom@reddthat.com
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    1 year ago

    A vector is a list of numbers, at its most basic. You can add a lot of extra functionality to it, but at its core, its just a list.