How to use the mathjs.add function in mathjs

To help you get started, we’ve selected a few mathjs examples, based on popular ways it is used in public projects.

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javascript-machine-learning / linear-algebra-matrix / index.js View on Github
const matrixA = math.matrix([[0, 1], [2, 3], [4, 5]]);
const matrixB = math.matrix([[0], [1], [2]]);

console.log(Matrix A Dimension: ${matrixA.size()[0]}x${matrixA.size()[1]});
console.log(Is vector: ${matrixA.size()[1] === 1}); console.log(Matrix B Dimension:${matrixB.size()[0]}x${matrixB.size()[1]}); console.log(Is vector:${matrixB.size()[1] === 1});
console.log('\n');

const matrixC = math.matrix([[0, 1], [2, 3], [4, -5]]);
const matrixD = math.matrix([[1, -1], [-2, 4], [-7, 4]]);

console.log('\n');

// Matrix Subtraction

const matrixE = math.matrix([[0, 1], [2, 3], [4, -5]]);
const matrixF = math.matrix([[1, -1], [-2, 4], [-7, 4]]);

console.log('Matrix Subtraction:');
console.log('\n');
uccser / cs-field-guide / csfieldguide / static / interactives / matrix-simplifier / js / matrix-simplifier.js View on Github
function addVectors(v) {
if (v.length == 2) {
} else {
// remove the first vector in array
v.shift();
// replace the new first element in array with result
v[0] = result;
}
}
}
quantastica / quantum-circuit / lib / quantum-circuit.js View on Github
if(uval) {

var counter = unusedSpace;
while(counter--) {

var state = this.state[col];
if(state) {
if(uval == 1) {
newState[row] = math.add(newState[row] || ZERO, state);
} else {
newState[row] = math.add(newState[row] || ZERO, math.multiply(uval, state));
}
newStateBits |= row;
}

}
}
}
}
}
// replace current state with new state
this.state = newState;
this.stateBits = newStateBits;
hashgraph / hedera-mirror-node / hedera-mirror-rest / monitoring / monitor_apis / account_tests.js View on Github
if (undefined === accounts) {
var message = accounts is undefined;
currentTestResult.failureMessages.push(message);
return;
}

if (accounts.length !== 1) {
var message = accounts.length of ${accounts.length} was expected to be 1; currentTestResult.failureMessages.push(message); acctestutils.addTestResult(classResults, currentTestResult, false); return; } let plusOne = math.add(math.bignumber(accounts[0].balance.timestamp), math.bignumber(1)); let minusOne = math.subtract(math.bignumber(accounts[0].balance.timestamp), math.bignumber(1)); let paq = ${accountsPath}?timestamp=gt:${minusOne.toString()} + &timestamp=lt:${plusOne.toString()}&limit=1;

url = acctestutils.getUrl(server, paq);
currentTestResult.url = url;
accounts = await getAccounts(url, currentTestResult);

if (undefined === accounts) {
var message = accounts is undefined;
currentTestResult.failureMessages.push(message);
return;
}

if (accounts.length !== 1) {
var message = accounts.length of \${accounts.length} was expected to be 1;
trungdq88 / smart-doge / src / pages / calc.js View on Github
function calcResult(params) {
let result = 0;
const nextIndex = params.length + 1;
for (let i = 0; i &lt; params.length; i++) {
math.fraction(result),
math.fraction(
math.multiply(
math.fraction(params[i]),
math.fraction(
math.pow(nextIndex, params.length - i - 1)
)
)
)
);
}

return result;
}
antoniodeluca / dn2a / assets / networks / alpha.js View on Github
function(totalOutputError, layerNeuron) {
totalOutputError,
square(layerNeuron.outputError)
);
},
bignumber(0)
antoniodeluca / dn2a / assets / networks / alpha.js View on Github
function(
synapse,
synapseIndex,
synapses
) {
synapse.previousWeightChange = synapse.weightChange;
multiply(
bignumber(learningRate),
multiply(
layerNeuron.delta,
synapse.incomingConnection.output
)
),
multiply(
bignumber(momentumRate),
synapse.previousWeightChange
)
);
synapse.previousWeight = synapse.weight;
synapse.weight,
synapse.weightChange
soswow / Various-JS-and-Python / JS / evolution-strategies / nes.js View on Github
const main = () =&gt; {
let G = null;
for (let i = 0; i &lt; 3; i++) {
if (G === null) {
G = randomG();
} else {
}
}
for (let i = 0; i &lt; 3; i++) {
G = math.subtract(G, randomG());
}

const alpha = learningRate;
const sigma = samplesArea;
let w = [math.randomInt(W - sigma * 4) + sigma * 2, math.randomInt(H - sigma * 4) + sigma * 2];

const points = [];
const samplePoints = [];
let minimumFound = false;
while (!minimumFound) {
const noise = math.add(math.multiply(initRandomMatrix(sampleSize, 2), 4), -2);
const wp = math.add(math.dotMultiply(sigma, noise), math.multiply(math.ones(sampleSize, 1), [w]));

mathjs

Math.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and constants, and offers an integrated solution to work with dif

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