Many Linux distributions will come with all necessary tools. All you should need to do is check the compiler versions. On a Debian-based distribution, you can obtain all necessary tools with the following command:. Replace apt-get with your relevant package manager, e. If Building for bit integers , a variant of Lapack that uses bit integers is required. On some Linux distributions e. This can be accomplished via. After installation, a number of additional packages need to be installed:.
I might have forgotten something. If you also want to use GNU compilers, then install them, too:. If you want to use the native MSVC or Intel compiler, you need to make sure that environment variables are setup for the compilers. One way is to create a shell script that executes the batch files that are provided by Microsoft and Intel for this purpose before starting MSYS2.
For using MSVC, this script may have a form similar to. You might have to search around a bit. Ipopt also requires at least one linear solver for sparse symmetric indefinite matrices. There are different possibilities, see below. It is important to keep in mind that usually the largest fraction of computation time in the optimizer is spent for solving the linear system, and that your choice of the linear solver impacts Ipopt's speed and robustness.
It might be worthwhile to try different linear solver to experiment with what is best for your application. Since this third party software is released under different licenses than Ipopt, we cannot distribute their code together with the Ipopt packages and have to ask you to go through the hassle of obtaining it yourself. Keep in mind that it is still your responsibility to ensure that your downloading and usage of the third party components conforms with their licenses.
Some of the specialized build systems also come with a script that makes it easy to download the code using wget or curl. It is not required if you want to specify your optimization problem in a programming language e. To do so, execute. On Ubuntu, such libraries can be made available by installing liblapack-dev. Other Linux distributions typically also offer a way to install Blas and Lapack via its package manager.
This means, if you obtain one of those solvers after you compiled Ipopt, you don't need to recompile Ipopt to use it. Instead, you can just place a shared library onto your system and ensure that Ipopt can find it at runtime. The name can contain a path; otherwise, the shared library search path e. You need to have a Fortran 90 compiler e. Make sure you read the license agreement before filling out the download form. Therefore, the Ipopt interface to Pardiso from Pardiso Project is always build and the value of option pardisolib is used as name possibly including a path for the library to be loaded.
The configure option --with-pardiso can be used to specify the default value for option pardisolib. Specifying --disable-pardisomkl as option for configure disables the check for Pardiso from Intel MKL. The maintainer of this fork test whether their current version works with Ipopt. After compilation of SPRAL, while configuring Ipopt, you need to specify the link and include directories for the library with the --with-spral-lflags and --with-spral-cflags flags, including required additional libraries and flags.
More information on the Spral interface of Ipopt can be found in [9]. At this website you can download the library for several operating systems including a trial license key for 90 days that allows you to use WSMP for "educational, research, and benchmarking purposes by non-profit academic institutions" or evaluation purposes by commercial organizations; make sure you read the license agreement before using the library.
Once you obtained the library and license, please check if the version number of the library matches the one on the WSMP website. If a newer version is announced on that website, you can and probably should request the current version by sending a message to wsmp us. Please include the operating system and other details to describe which particular version of WSMP you need. To compile Ipopt with the linear solver WSMP, you need to specify the linker flags for the library with the --with-wsmp flag, including required additional libraries and flags.
By default the Wssmp type uses a CSC compressed sparse column representation of the lower triangle of the original matrix. The MSC modified compressed sparse column representation, in which the diagonal is stored separately from the strict lower triangle in CSC format, is also available.
Skip to content. This repository has been archived by the owner. It is now read-only. Star 1. Branches Tags. Sparse symmetric factorization in WSMP has been clocked at up to 1. This paper gives an overview of the algorithms, implementation aspects, performance results, and the user interface of WSMP for solving symmetric sparse systems of linear equations.
Key words. Parallel software, Scientific computing, Sparse linear systems, Sparse matrix factorization, High-performance computing 1. Scott, Yifan Hu. We recently carried out an extensive comparison of the performance of state-of-the-art sparse direct solvers for the numerical solution of symmetric linear systems of equations.
Some of these solvers were written primarily as research codes while others have been developed for commercial use. Our ex Abstract - Cited by 5 0 self - Add to MetaCart We recently carried out an extensive comparison of the performance of state-of-the-art sparse direct solvers for the numerical solution of symmetric linear systems of equations.
Our experiences of using the different packages to solve a wide range of problems arising from real applications were mixed. In this paper, we highlight some of these experiences with the aim of providing advice to both software developers and users of sparse direct solvers. We discuss key features that a direct solver should offer and conclude that while performance is an essential factor to consider when choosing a code, there are other features that a user should also consider looking for that vary significantly between packages.
Categories and Subject Descriptors: G. Abstract-This paper discusses recent advances in the development of robust direct and iterative sparse linear solvers for general unsymmetric linear systems of equations. The primary focus is on robust methods for semiconductor device simulations matrices, but all methods presented are solely based Abstract - Cited by 5 0 self - Add to MetaCart Abstract-This paper discusses recent advances in the development of robust direct and iterative sparse linear solvers for general unsymmetric linear systems of equations.
The primary focus is on robust methods for semiconductor device simulations matrices, but all methods presented are solely based on the structure of the matrices and can be applied to other application areas e. Reliability, a low memory-footprint, and a short solution time are important demands for the linear solver.
Currently, no black-box solver exists that can satisfy all criteria. The linear systems from semiconductor device simulations can be highly ill-conditioned and therefore quite challenging for direct and preconditioned iterative solver. In this paper, it is shown that nonsymmetric permutations and scalings aimed at placing large entries on the diagonal greatly enhance the reliability of direct and iterative methods.
Many Windows 10 extensibility features require package identity to be used from non-UWP desktop apps, including background tasks, notifications, live tiles, and share targets. For these scenarios, the OS requires identity so that it can identify the caller of the corresponding API.
In OS releases before Windows 10, version , the only way to grant identity to a desktop app is to package it in a signed MSIX package. For these apps, identity is specified in the package manifest and identity registration is handled by the MSIX deployment pipeline based on the information in the manifest.
All content referenced in the package manifest is present inside the MSIX package. Starting in Windows 10, version , you can grant package identity to desktop apps that are not packaged in an MSIX package by building and registering a sparse package with your app.
This support enables desktop apps that are not yet able to adopt MSIX packaging for deployment to use Windows 10 extensibility features that require package identity. For more background info, see this blog post. To build and register a sparse package that grants package identity to your desktop app, follow these steps.
A sparse package contains a package manifest but no other app binaries and content. The manifest of a sparse package can reference files outside the package in a predetermined external location. This allows applications that are not yet able to adopt MSIX packaging for their entire app to acquire package identity as required by some Windows 10 extensibility features. A desktop app that uses a sparse package does not receive some benefits of being fully deployed via an MSIX package.
0コメント