Welcome back to a new post on thoughts-on-cpp.com. This time we will have a closer look at a possible implementation of a matrix and decomposition algorithms used for solving systems of linear equations. But before we dive deep into implementations of decomposition methods we first need to do a little excursion into the performance of different types of containers we could use to eventually store the data. As always you can find the respective repository at GitHub. So let’s have some fun with matrices.
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Welcome back to a new post on thoughts-on-cpp.com. This time I would like to have a closer look at root approximation methods which I regularly use to solve numerous numerical problems. We start with an easy approach using Bisection, investigating in Newton and Secant method and are concluding with black-box methods of Dekker and Brent.
Read Full ArticleWelcome back to a new post at thoughts-on-cpp.com. In this post, I would like to discuss the Gauss integration algorithm, more precisely the Gauss-Legendre integration algorithm. The Gauss-Legendre integration is the most known form of the Gauss integrations. Others are
Read Full ArticleWelcome to a new post on thoughts-on-cpp.com. This time I would like to start a new series, Numerical Methods. But don’t be disappointed if you’re expecting a new post on the n-body-problem, I’m still planning to continue the “My God, It’s Full of Stars” series. With this new series, I would like to talk about numerical methods which are important in my daily business, starting from Trapezoidal and Simpson integration methods of type Newton-Cotes.
Read Full ArticleWelcome back to a new post on thoughts-on-cpp.com. In today’s post, I would like to give an introduction to the build system Gradle and how we can use it to build native applications and libraries. Gradle is originally coming from the Java world, but it’s also supporting native build toolchains for quite a while. Gradle is becoming more and more popular in the Java world and is on a good way to rule out the old bull Maven. This is because of two features which we can also benefit from in the native (C/C++, Objective-C/C++, Assembly, and Windows resources) build world. These features are Gradle’s easy to maintain and very expressive Groovy (or Kotlin if preferred) based DSL, and it’s capabilities of dependency resolving via online and on-premise library providers (such as maven-central, Artifactory, Bintray, etc.) or local repositories.
Read Full ArticleWelcome back to a new post on thoughts-on-cpp.com. In today’s post, I would like to talk about the floating-point model of the IEEE 754 standard. Before we start I would like to state that I’m neither a mathematician nor an expert on this topic. I’m just interested in this and I’m learning the best myself by explaining it to others. So feel free to leave comments about misunderstandings or other problems you see in the explanations of this post. As a reference I’m using the IEEE 754 standard and the book “Numerische Mathematik” which is, in my opinion, one of the best books about numerical calculation, but unfortunately only available in German. Read Full Article
Welcome back to a new post on thoughts-on-cpp.com. This time I would like to give an introduction into an automated build setup which, based upon Jenkins and CMake, fulfills the following needs:
- Building a ready to deploy release on every commit
- Execution of all tests
- Running static code analysis to track code quality
- And easy to extend with automated deployment (CD)
For all the necessary sources, I prepared a GitHub repository. We are focusing here only on a technical part of an automated build process which is a prerequisite of a CI/CD (Continues Integration/Continues Deployment) process. It is quite a bit more necessary than just tools for a company to fully embrace the ideas behind a CI/CD process but with an automated build and test setup your on a good way.
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