How to use linalg.solve, solving simultaneous equations (numpy)



Python
library
pip

MeCab

Common
class

pickle

read/readline

numpy
asfarray

digitize

expit

linalg.solve

meshgrid

mgrid

ndmin

pad

poly1d

polyfit

prod

shape

matplotlib
figure

pcolormesh

scatter

pytorch
BCELoss, MSELoss

device

Embedding

TensorDataset, Dataloader

RNN, LSTM
scikit-learn
SVC

GaussianNB

scipy
interpolate
tkinter
postscript

image display

frame, grid

Crop Image

other
linear interpolation

Hysteresis switch

Square/Triangle wave

OpenAI gym
CartPole-v0

By purpose
1 of K Coding


Release date:2024/9/14         

In Japanese


■Explanation of linalg.solve

linalg.solve solves systems of simultaneous equations.

You can solve simultaneous equations by using a matrix and then multiplying it by its inverse, as shown below.

■Examples using linalg.solve

You need to install the numpy library.

import numpy as np

A = np.array([[2, 1], [1,2]])
B = np.array([4, 5])

k = np.linalg.solve(A, B)

print(k)

⇒ [1. 2.]










List of related articles



Python
library
pip

MeCab

Common
class

pickle

read/readline

numpy
asfarray

digitize

expit

linalg.solve

meshgrid

mgrid

ndmin

pad

poly1d

polyfit

prod

shape

matplotlib
figure

pcolormesh

scatter

pytorch
BCELoss, MSELoss

device

Embedding

TensorDataset, Dataloader

RNN, LSTM
scikit-learn
SVC

GaussianNB

scipy
interpolate
tkinter
postscript

image display

frame, grid

Crop Image

other
linear interpolation

Hysteresis switch

Square/Triangle wave

OpenAI gym
CartPole-v0

By purpose
1 of K Coding