Currently, the Visual C++ compiler doesn’t enable you to control loop unrolling. However, you can emulate this technique by using templates together with the __ forceinline keyword. You can disable auto-vectorization on a specific loop using the loop pragma with the no_vector option. ...
std::vector move assignment is now more efficient in the non-POCMA non-equal-allocator case, by reusing the buffer when possible.Visual Studio 2017 version 15.5basic_string<char16_t> now engages the same memcmp, memcpy, and similar optimizations that basic_string<wchar_t> engages. An optimize...
no applicable method for 'group_by' applied to an object of class "function" write.table output How to upload a map on Leaftlet? Error in addPolygons and object cannot be found Fatal Error Occured R Session Aborted: Create a factor vector of predictions on test data Sorting c...
This looks like a rather strange system; but it is three vector equations (3), (4), (5) in four vector (or one-form) unknowns , together with a divergence-free condition (6) and a positive definiteness condition (7), which I view as basically being scalar conditions. Thus, this ...
Linear algebra is a branch of algebra that applies to both applied as well as pure mathematics. It deals with the linear mappings between the vector spaces. It also deals with the study of planes and lines. It is the study of linear sets of equations with transformation properties. It is ...
The higher the VIF value, the greater degree of multicollinearity. There is no VIF cutoff value determining a “bad” or “good” model. Nevertheless, a widely repeated rule of thumb is that a VIF value greater than or equal to ten indicates severe multicollinearity.15 ...
The von Neumann ergodic theorem (the Hilbert space version of the mean ergodic theorem) asserts that if is a unitary operator on a Hilbert space , and is a vector in that Hilbert space, then one has in the strong topology, where is the -invariant subspace of , and is the orthogonal pro...
Support vector machines (SVM): This algorithm may be used for bothdata classification and regression, but typically for classification problems, constructing a hyperplane where the distance between two classes of data points is at its maximum. This hyperplane is known as the decision boundary, separa...
which reflects the classical fact that the sum of angles of a Euclidean triangle is equal to . To first order, one obtains which reflects the evident fact that the vector sum of the sides of a Euclidean triangle sum to zero. (Geometrically, this correspondence reflects the fact that the ...
The ordered variable y is thus a constrained record of the variable y*, which in turn is a linear function of the set of explanatory variables (vector x) and the unknown parameters (vector β). For i different objects (i = 1, 2, …, n), the objects are the individual municipalities...