To overwrite those elements with the provided data. M.SubMatrix( 1, 2, 1, 2) // įor each of these methods there is also a variant prefixed with Set that can be used We can also get entire column or row vectors, or a new matrix from parts of an existing one. For example, an in-place version of the code above: m.Multiply(v, v) // v. Provided theĭimensions match, most also allow one of the arguments to be passed as result, These methods also have an overload that accepts the result data structure as last argument,Īllowing to avoid allocating new structures for every single operation. The equivalent code fromĪbove when using instance methods: var v 2 = m.Multiply(v) anspose.īut even the operators have equivalent methods. Or in F# as functions in the Matrix module, e.g. let m = matrix ] let v = vector let v' = m * v let m' = m + 2.0 * m Arithmetic Instance MethodsĪll other operations are covered by methods, like Transpose and Conjugate, ArithmeticsĪll the common arithmetic operators like +, -, *, / and % are provided,īetween matrices, vectors and scalars. Or using any other of all the available functions. random 3 4 ( ContinuousUniform ( - 2.0, 4.0 ) ) let m7b = DenseMatrix. randomStandard 3 4 // random matrix with a uniform and one with a Gamma distribution: let m7a = DenseMatrix. ofColumnSeq x // random matrix with standard distribution: let m6 = DenseMatrix. init 3 ( fun r -> float ( 100 * r + c ) ) ) let m5 = DenseMatrix. identity 4 // dense 3x4 matrix created from a sequence of sequence-columns let x = Seq. init 3 4 ( fun i j -> float ( i + j ) ) // diagonal 4x4 identity matrix of single precision let m4 = DiagonalMatrix. zero 3 4 // dense 3x4 matrix initialized by a function let m3 = DenseMatrix. (usually the type is inferred, but not for zero matrices) let m2 = DenseMatrix. In F# we can use the builders just like in C#, but we can also use the F# modules: let m1 = matrix ] let v1 = vector // dense 3x4 matrix filled with zeros. Directly bind to an existing array without copying (note: no "Of") double x = existing. They support both single and double precision, real and complex floating point numbers.Ī_ Math.NET Numerics includes rich types for matrices and vectors.
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