Linear_Search ( Array X, Value i) Set j to 1 for
install-sh initial checkin Jun 29, 2016 Repository files navigation README Apache-2.0 license libcircllhist An implementation of OpenHistogram log-linear histograms. Requirements C compiler (gcc, clang, etc.) GNU Autoconf GNU Make Additionally, to run tests and/or use the bindings: LuaJIT Pyth...
Linear systems appear in a variety of fields in scientific computing.Hence, there are a number of methods and implementations for solving the linear systems.If a program code is incorrect or a problem is ill-conditioned, then inaccurate results can be obtained.The goal is to generate test ...
This tutorial explains the Stack Data Structure along with Stack Program in C with Array and Linked list. A stack is a linear data structure which follows LIFO (last in first out) or FILO (first in last out) approach to perform a series of basic operatio
Program summary Program title: gpuSPHASE Catalogue identifier: AFBO_v1_0 Program summary URL:http://cpc.cs.qub.ac.uk/summaries/AFBO_v1_0.html Program obtainable from: CPC Program Library, Queen’s University, Belfast, N. Ireland Licensing provisions: GNU GPLv3 No. of lines in distributed...
The example shown above is using the fminsearch function which is a built-in Matlab implementation of the Nelder-Mead Simplex method [3]. The Simplex method is often used for material parameter extraction because of its robustness. The main weakness of this optimization algorithm is that it can...
This volume constitutes the proceedings of the International Symposium on Design and Implementation of Symbolic Computation Systems (DISCO '93), held in Gmunden, Austria, in September 1993. The growing importance of systems for symbolic computation has greatly influenced the decision of organizing this...
example.c /** seccomp example with syscall reporting * * Use of this source code is governed by a BSD-style license that can be * found in the LICENSE file.*/#define_GNU_SOURCE 1#include<stdio.h>#include<stddef.h>#include<stdlib.h>#include<unistd.h>#include"config.h"#include"seccomp...
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) is a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost impleme...
1. Machine-learning classification has become a major focus of the remote-sensing literature (e.g. Pal and Mather 2003; 2005; Pal 2005; Mountrakis, Im, and Ogole 2011; Belgiu and Drăguţ 2016). Mach...