GitHub

Three.js Shading Language

An Approach to Productive and Maintainable Shader Creation. Creating shaders has always been an advanced step for most developers; many game developers have never created GLSL code from scratch. The ...
IEEE

A Belief Rule Base Considering Random Variables of Adaptive Membership Functions

Abstract: With its inherent causal reasoning and superior capacity for handling uncertainty, the belief rule base (BRB) has been widely applied in complex systems modeling. As a generalization of ...
INSPIRE

Preface to Contextuality in Random Variables: A Systematic Introduction, by E. N. Dzhafarov, J. V. Kujala, and V. H. Cervantes

This is the preface for the book by E. N. Dzhafarov, J. V. Kujala, and V. H. Cervantes, titled Contextuality in Random Variables: A Systematic Introduction. It is to be published by Cambridge ...
University of Vermont

Introduction to functions

Among the most powerful tools we have as programmers—perhaps the most powerful tools—are functions. We’ve already seen some built-in Python functions, for example, print() and type(). We’ll see many ...
GitHub

RandONets - MATLAB Code (J. Comp. Phys). RandONets (Random projection-based Operator Networks) is a MATLAB implementation designed for learning efficiently linear and nonlinear ...

We present a machine learning method based on random projections with Johnson-Lindenstrauss (JL) and/or Rahimi and Recht (2007) Random Fourier Features (RFFN) for efficiently learning linear and ...
IEEE

A Variable Linear Coefficient Battery Cost Function Embedded Control for Revenue Maximization of Grid Tied Solar Photovoltaic System

Abstract: The deviation settlement mechanism (DSM) scheme enforces strict regulations on microgrid operators to comply with generation commitment norms set by grid operators. These norms are essential ...
Frontiers

Efficiency and controllability of stochastic boolean function generation by a random network of non-linear nanoparticle junctions

Amid efforts to address energy consumption in modern computing systems, one promising approach takes advantage of random networks of non-linear nanoscale junctions formed by nanoparticles as ...
Scientific Research Publishing

Dantzig, G.B. (1951) Maximization of a Linear Function of Variables Subject to Linear Inequalities. In: Koopmans, T.C., Ed., Activity Analysis of Production and Allocation ...

ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...
東京工業大学

Optimizing Continuous-Variable Functions with Quantum Annealing

Quantum annealing (QA) can be competitive to classical algorithms in optimizing continuous-variable functions when running on appropriate hardware, show researchers from Tokyo Tech. By comparing the ...