turingbirds

GPIB interfacing using Agilent 82357B on Ubuntu Linux

I initially had some problems installing on my laptop, so decided to boot Ubuntu 12.04.5 LTS, 3.13.0-32-generic from USB and work from there.

For an automated installation script, see gpib_install.sh (and gpib.conf) below. The rest of this document describes the actions of the installation script step-by-step.

First, get the packages that are necessary to support Python bindings:

:

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import numpy as np

def extract_block_diagonal_blocks(A):
    assert A.shape[0] == A.shape[1], "matrix A should be square"

    N = A.shape[0]

    A_mirrored = A + A.T   # make the matrix symmetric so we only have to check one triangle

    blocks = []

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GNUPG CHEATSHEET

Setting up: key generation

This generates a public/private keypair.

$ gpg --gen-key

$ gpg --list-secret-keys

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/**
 * Compute the (Moore-Penrose) pseudo-inverse of a libgsl matrix in plain C.
 *
 * Compile uding:
 *
 *     gcc moore_penrose_pseudoinverse.c -lgsl -lblas
 *
 * Dependencies:
 * - libgsl (GNU Scientific Library) 
 * - libblas (Basic Linear Algebra Subprograms)

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ltspice options for high precision simulation/data export

Uses backward Euler integration (maxord=1 option), which can be very slow.

Set maximum iteration counts: DC iteration count limit (itl1, default: 100), DC transfer curve iteration count limit (itl2, default: 50), and transient analysis time point iteration count limit (itl4, default: 10) [ltwiki].

.OPTIONS maxord=1