Thank you for your interest in contributing to LaceModelica ("Project"), maintained by YACODA.
By submitting a pull request or otherwise contributing to this Project, you agree to the following terms.
Joris Gillis jgillis
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| Contributor's Statement of Intellectual Property Transfer | |
| I certify that: | |
| (a) I have read and understood the statement below on Ownership and Transfer of Intellectual Property; | |
| (b) for any contribution I make to the CasADi project, I will make all reasonable efforts to determine the legal owners of the contribution, and I will obtain the permission of the owners of the contribution to make the contribution available under the terms of this agreement; | |
| (c) if I am employed, I have discussed contributing to CasADi with my employer and have obtained their permission to transfer the intellectual property rights or have determined that they do not assert ownership rights to my contributions; | |
| (d) I hereby transfer and assign all rights, title, and interest, including all intellectual property rights, in any contributions that I make to the CasADi project, to the CasADi copyright holders; | |
| (e) I will not knowingly submit any contribution of which I am not the owner or for which I do not have the owner's permission, n |
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| % Load the matrices from files | |
| actual = casadi.Sparsity.from_file('debug_fatrop_actual.mtx'); | |
| A = casadi.Sparsity.from_file('debug_fatrop_A.mtx'); | |
| B = casadi.Sparsity.from_file('debug_fatrop_B.mtx'); | |
| C = casadi.Sparsity.from_file('debug_fatrop_C.mtx'); | |
| D = casadi.Sparsity.from_file('debug_fatrop_D.mtx'); | |
| I = casadi.Sparsity.from_file('debug_fatrop_I.mtx'); | |
| errors = row(casadi.Sparsity.from_file('debug_fatrop_errors.mtx')); | |
| % Create a new figure |
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| from casadi import * | |
| # Example on how to use the DaeBuilder class | |
| # Joel Andersson, UW Madison 2017 | |
| # Start with an empty DaeBuilder instance | |
| dae = DaeBuilder('rocket') | |
| # Add input expressions |
jgillis
/ gist:dc2b07b6ff48614a8035676761cfac6a
Last active
April 25, 2024 19:47
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| /* This file was automatically generated by CasADi 3.6.5+. | |
| * It consists of: | |
| * 1) content generated by CasADi runtime: not copyrighted | |
| * 2) template code copied from CasADi source: permissively licensed (MIT-0) | |
| * 3) user code: owned by the user | |
| * | |
| */ | |
| #ifdef __cplusplus | |
| extern "C" { | |
| #endif |
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| from casadi import * | |
| # Generate 3D data to fit | |
| x = np.linspace(0,2,10) | |
| y = np.linspace(2,4,10) | |
| z = np.linspace(3,5,10) | |
| [X,Y,Z] = np.meshgrid(x,y,z) | |
| xyz_flat = np.vstack((X.ravel(),Y.ravel(),Z.ravel())).T |
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| from casadi import * | |
| opti = Opti() | |
| x = opti.variable(10) | |
| y = opti.variable(10) | |
| opti.subject_to(x>=0) | |
| opti.subject_to(x+y==0) | |
| opti.subject_to(y>=0) |
jgillis
/ outline.py
Last active
September 7, 2023 08:16
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| m = 10 # Limite memory size | |
| x_latest = MX.sym("x_latest",nx) | |
| g_latest = MX.sym("g_latest",nx) | |
| x_prev = MX.sym("x_prev",nx) | |
| g_prev = MX.sym("g_prev",nx) | |
| s_latest = x_latest-x_prev | |
| y_latest = g_latest-g_prev |
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| import casadi as cs | |
| import numpy as np | |
| xp = [1, 2, 3] | |
| fp = [3, 2, 0] | |
| x = [2.5,1.1] | |
| print(np.interp(x=x,xp=xp,fp=fp)) |
jgillis
/ gist:27152fec37ae6b476e5d8d6bfe639f8d
Created
December 3, 2021 01:02
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| XYZ_ref = [ simOut.EndEffector_AbsPos{1}.Values.Data,simOut.EndEffector_AbsPos{2}.Values.Data,simOut.EndEffector_AbsPos{3}.Values.Data ]'; | |
| Nsim = size(Gantry_out_D.Data,1); | |
| XYZ = zeros(3,Nsim); | |
| for k=1:Nsim | |
| XYZ(:,k) = ForwardKinematicsFun(Gantry_out_D.Data(k,2),... | |
| Axis1_Out_D.Data(k,2)/180*pi,... | |
| Axis2_Out_D.Data(k,2)/180*pi,... | |
| Axis3_Out_D.Data(k,2)/180*pi,... | |
| Axis4_Out_D.Data(k,2)/180*pi,... |
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