Function secret sharing (FSS) is a secret sharing technique for functions in a specific function class, mainly including distributed point function (DPF) and distributed comparison function (DCF). As ...
Learn to choose coordinate systems, visualize multivariable functions, and parameterize curves. You can use these live scripts as demonstrations in lectures, class activities, or interactive ...
Finding the extrema of a multivariable function is an essential skill in calculus and applied mathematics. This process allows you to determine the minima and maxima of a function across multiple ...
Abstract: A toolbox for the frequency-domain analysis and design of multivariable feedback systems, to be used with the software products PC-MATLAB or PROMATLAB, is described. The principal model ...
x = newtons_method_n(f,J,x0) returns the root of a multivariate, vector-valued function specified by the function handle f, where J is the Jacobian of with respect to (i.e. ) and where x0 () is an ...
Functional connectivity analyses are typically based on matrices containing bivariate measures of covariability, such as correlations. Although this has been a fruitful approach, it may not be the ...
Abstract: In this paper, an extended version of the FOTF Toolbox is presented which can be used to handle multivariable fractional-order transfer function matrices. A good interface is provided on top ...
ABSTRACT: Piyavskii’s algorithm maximizes a univariate function satisfying a Lipschitz condition. We propose a modified Piyavskii’s sequential algorithm which maximizes a univariate differentiable ...
ABSTRACT: The objective of modelling from data is not that the model simply fits the training data well. Rather, the goodness of a model is characterized by its generalization capability, ...