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Optimization

minimize() scalar objective bounds in optimization constraints in minimize() least_squares() curve_fit() root() nonlinear equations linprog() linear programming minimize_scalar()

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quad() single integral dblquad() double integral cumulative_trapezoid() solve_ivp() ODE ODE event detection dense ODE output simpson() sampled integration fixed_quad() Gaussian quadrature

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Linear Algebra & Sparse

linalg.solve() LU factorization QR decomposition SVD sparse csr_matrix sparse linear solve eigs() sparse eigenvalues distance matrix

Spatial & Interpolation

KDTree nearest neighbors ConvexHull Delaunay triangulation interp1d() CubicSpline RegularGridInterpolator griddata() distance.cdist()

SciPy / Linear Algebra & Sparse

distance matrix

Learn distance matrix in SciPy with a dedicated explanation, a concept-specific example, practical cautions, and a mastery check.

12 min read • Advanced

scipy-040.py

python

import numpy as np
from scipy.spatial import distance_matrix
a=np.array([[0.,0.],[1.,0.]])
b=np.array([[0.,1.],[2.,2.]])
print(distance_matrix(a,b))

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distance matrix Mastery Check →

eigs() sparse eigenvalues

KDTree nearest neighbors