A Dinesh dineshadepu

To effectively learn Neural Networks, it’s best to build your understanding step-by-step, starting from foundational concepts in math and programming, and progressing through machine learning. Here's a clear learning path:

🔹 1. Prerequisites

Mathematics:

Linear Algebra – Vectors, matrices, matrix multiplication
Calculus – Derivatives, gradients (for backpropagation)
Probability & Statistics – Basics of distributions, expectation, Bayes’ theorem

Trilinos installation

mkdir trilinos
cd trilinos/
git clone -c feature.manyFiles=true --depth=2 https://github.com/spack/spack.git

Then source the spack

source spack/share/spack/setup-env.sh

Install pysph

pip install 'cython<3'
pip install 'numpy==1.23'
pip install h5py
pip install https://github.com/pypr/pysph/zipball/master

Make mouse fast

Search "Mouse and Touchpad" and change the speed.

Bring dock down and make icons small

Go to "Appearance" and change the dock properties

Make the cross button to left

Documentation for Analyzing Particle Simulation Output Using HDF5

This section provides a step-by-step guide on how to analyze and visualize the output data from a particle simulation using HDF5 files. We will demonstrate how to load the results, process the data, and plot the variation of a specific quantity (in this case, the position of a particle) over time using Python libraries such as h5py and matplotlib.

Simulation Overview

ffmpeg -i 3d_dam_break.webm -vf "crop=trunc(iw/2)*2:trunc(ih/2)*2" 3d_dam_break.mp4

ffmpeg -i dinesh_2024_single_particle_swelling_N_15_buoyancy_check.webm -vf "crop=trunc(iw/2)*2:trunc(ih/2)*2" dinesh_2024_single_particle_swelling_N_15_buoyancy_check.mp4

ffmpeg -i fifty_bodies_500_density_sph_representation.webm -vf "crop=trunc(iw/2)*2:trunc(ih/2)*2" fifty_bodies_500_density_sph_representation.gif

To make movies out of images png, such as simulations movies of PySPH

	# Define the build directory containing binaries
	BUILD_DIR := /home/dineshadepu/life/softwares/Cabana_package_template/build
	# for mac os
	BUILD_DIR := /Users/dineshadepu/life/softwares/Cabana_package_template/build

	# Find all binaries in BUILD_DIR with "test" in the name (Ubuntu compatible)
	TEST_BINARIES := $(shell find $(BUILD_DIR) -type f -executable -name "test")
	# for mac os
	# TEST_BINARIES := $(shell find $(BUILD_DIR) -type f -perm +111 -name "test")

	/****************************************************************************
	* Copyright (c) 2018-2022 by the Cabana authors *
	* All rights reserved. *
	* *
	* This file is part of the Cabana library. Cabana is distributed under a *
	* BSD 3-clause license. For the licensing terms see the LICENSE file in *
	* the top-level directory. *
	* *
	* SPDX-License-Identifier: BSD-3-Clause *
	****************************************************************************/

	https://gitlab.com/pypr/adaptive_sph/-/blob/master/code/fpc_auto.py#L795

	https://gitlab.com/pypr/adaptive_sph/-/blob/master/code/fpc_auto.py#L435