Tags :MATLAB R2018 training

MathWorks MATLAB R2018a Update 4New Features, Bug Fixes, Compatibility Considerationsexpand allParfeval callbacks: New afterAll and afterEach methods for parallel futuresSlurm support: Slurm is a fully supported schedulerSupport for NVIDIA Volta: Update to CUDA 9, support for Volta class GPUsImproved file mirroring: Performance of file mirroring for generic scheduler integration​Parfor performance improvements: More efficient broadcast variables in parfor for non-local clustersGPU Array Support: Use enhanced gpuArray functionsDistributed Array Support: Use enhanced distributed array functionsParameter Sweep Example: Use a DataQueue to monitor results during computations on a parallel poolDiscontinued Support for GPU Devices of Compute Capability less than 3.0Backwards Compatibility for MATLAB Job Scheduler: Upgrade MATLAB Job Scheduler (MJS) clusters, and continue to use previous releases of Parallel Computing ToolboxUpgrade Parallel Computing...

Mathworks Matlab R2018aNew tools for building apps, writing scripts, and team-based software development. More options for data analytics, machine learning, and deep learning.Millions of Engineers and Scientists Trust MATLAB MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly.Professionally Built MATLAB toolboxes are professionally developed, rigorously tested, and fully documented.With Interactive Apps MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work.Product:Mathworks Matlab R2018a Lanaguage:english Platform:Win/Linux Size:2DVD