alecjacobson

%%MatrixMarket matrix coordinate  real general
1200 1200 4963
1 1 6.92520775623268483e-04
801 1 -1.00000000000000022e+00
802 1 5.00000000000000111e-01
821 1 5.00000000000000111e-01
2 2 1.38504155124653697e-03
801 2 5.00000000000000111e-01
802 2 -2.00000000000000044e+00
803 2 5.00000000000000111e-01

alecjacobson

#!/bin/sh

# https://stackoverflow.com/questions/13719122/how-to-use-opendiff-as-default-mergetool/36841553#36841553
# https://apple.stackexchange.com/questions/476348/use-apples-filemerge-from-command-line-and-have-it-wait-instead-of-exiting-imme
file1=$(readlink -f  "$1")
file2=$(readlink -f  "$2")
open -a FileMerge -n -W --args -left "$file1" -right "$file2"

alecjacobson

#include <optional>
#include <cmath>

//////////////////////////////////////////////////////////////////////////
/// ElasticModuli class implementing the conversion table at
/// https://en.wikipedia.org/wiki/Elastic_modulus
/// 
/// Setting any two input parameters will calculate the remaining four.
///
//////////////////////////////////////////////////////////////////////////

alecjacobson

from semanticscholar import SemanticScholar
from collections import defaultdict
from tqdm import tqdm
import os
import builtins


import re
import unicodedata
from collections import defaultdict

alecjacobson

// Adapted from ADOL-C/examples/additional_examples/sparse/sparse_hessian.cpp 
    
#include <math.h>
#include <cstdlib>
#include <cstdio>   
    
#include <adolc/adolc.h>
#include <adolc/adolc_sparse.h>
    
#define tag 1

alecjacobson

# May need to have python 3.10 or higher installed
# Use blender to convert .gltf file to .obj file
#
import bpy
import sys


# Get the arguments passed to the script, skipping the first three
# sys.argv[0] is blender's executable, sys.argv[1] is '-P', sys.argv[2] is the script name
args = sys.argv[1:]

alecjacobson

// https://github.com/autodiff/autodiff/issues/179
#define FORWARD
#ifdef FORWARD
#include <autodiff/forward/dual.hpp>
#else
#include <autodiff/reverse/var.hpp>
#endif
#include <complex>

template <typename T> T f(const T & x)

alecjacobson

// requires -std=c++17
#include <stdio.h>
#include <autodiff/forward/real.hpp> // https://github.com/autodiff/autodiff/

/// Take a gradient descent step at a given function 
///
/// @tparam FuncType  should be an auto-lambda (i.e., `[](auto x)->auto{…}`)
/// @param[in] func  scalar function
/// @param[in] initial_guess  initial input to func
/// @return  initial_guess  - dfdx where dfdx is the derivative of func at initial_guess

alecjacobson

#include <cmath>
#include <cstdio>

float angle_via_law_of_cosines(float a, float b, float c)
{
 return std::acos( (b+a-c) / (float(2)*std::sqrt(b*a)) );
}

float angle_via_kahan(float a, float b, float c)
{

alecjacobson

diff --git a/CMakeLists.txt b/CMakeLists.txt
index 8801572..a4ab77b 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -21,9 +21,11 @@ include(FeatureSummary) # More verbose Output for libraries using set_package_pr
 
 # Look for supporting libraries
 # -----------------------------
-find_package(Eigen3 NO_MODULE REQUIRED)
-set_package_properties(Eigen3 PROPERTIES TYPE REQUIRED PURPOSE "C++ vector data structures")