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How to use the min function from mathjs

Find comprehensive JavaScript mathjs.min code examples handpicked from public code repositorys.

mathjs.min is a function that returns the minimum value from an array or a set of numbers.

quantum-circuit.js

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		quirkColumn.push(1);
	}
} else {
	var basicGate = circuit.basicGates[gate.name];
	var maxWire = math.max(gate.wires);
	var minWire = math.min(gate.wires);
	var gateWires = gate.wires.slice();
	var wireRange = range(maxWire);
	if(basicGate) {
		var quirkName = "";

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+ 157 other calls in file

getAzDoRun.js

GitHub: adoptium/aqa-test-tools

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        ]
    ),
    3
);
const min = math.round(
    math.min(
        benchmarkMetricsCollection[
            key
        ]
    ),

+ 454 other calls in file

How does mathjs.min work?

mathjs.min is a function from the mathjs library that takes one or more arguments representing the numbers to be compared. If the argument is an array, it returns the minimum value in the array. If there are multiple arguments, it returns the minimum value of all the arguments. Here's how the mathjs.min function works: If mathjs.min is called with a single argument that is an array, it returns the minimum value in the array. If mathjs.min is called with multiple arguments, it returns the minimum value of all the arguments. If any of the arguments cannot be converted to a number, NaN is returned. If no arguments are passed to mathjs.min, Infinity is returned. If an array is passed as the first argument, and additional arguments are provided, the values in the array will be compared with the additional arguments. mathjs.min can also be used in conjunction with the mathjs.max function to find the range of a dataset.

report

GitHub: Sable/wu-wei-benchmarking-toolkit

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  keys['input-sizes'][results[h].experiment['input-size']] = true

  results[h]['mean-time'] = math.mean(results[h].times)
  results[h]['std-time'] = math.std(results[h].times)
  results[h]['max-time'] = math.max(results[h].times)
  results[h]['min-time'] = math.min(results[h].times)
  a.push(results[h])
}

console.log('### Invariants (configuration parameters that are the same for all runs) ###')

+ 5 other calls in file

embedgenerator.js

GitHub: iaace-NA/SupportBot

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newEmbed.addField("(Level) id: " + team_by_level_best, team_by_level_description[1], true);
newEmbed.addBlankField(false);

let team_by_highest_mastery = [];//array of stats objects
for (let b in TEAM_COMBINATIONS) team_by_highest_mastery.push(UTILS.calculateTeamStatistics(mathjs, TEAM_COMBINATIONS[b], masteries.map(m => (m[0].championPoints || 0))));
const team_by_highest_mastery_lowest_diff = mathjs.min(team_by_highest_mastery.map(t => t.abs));
const team_by_highest_mastery_best = team_by_highest_mastery.findIndex(t => t.abs === team_by_highest_mastery_lowest_diff);//team arrangement index
let team_by_highest_mastery_description = [[], []];
for (let i = 0; i < TEAM_COMBINATIONS[team_by_highest_mastery_best].length; ++i) {
	const individual_description = CONFIG.STATIC.CHAMPIONS[masteries[i][0].championId].emoji + " `" + UTILS.masteryPoints(masteries[i][0].championPoints) + "` " + summoners[i].name;

+ 5 other calls in file

Ai Example

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const math = require("mathjs");

// Find the minimum value in an array of numbers
const numbers = [4, 7, 1, 8, 3, 9, 2, 6, 5];
const minValue = math.min(numbers);
console.log(minValue); // Output: 1

// Find the minimum value of multiple arguments
const minValue2 = math.min(5, 3, 9, 2, 8);
console.log(minValue2); // Output: 2

// Find the minimum value in an array and additional arguments
const minValue3 = math.min([5, 3, 9], 2, 8);
console.log(minValue3); // Output: 2

In this example, we first import the mathjs library using the require function. We then call the math.min function to find the minimum value in an array of numbers. The min function returns the minimum value, which we then log to the console. We then call the math.min function again, but this time with multiple arguments. The min function returns the minimum value of all the arguments. Finally, we call the math.min function a third time, this time passing an array as the first argument and additional arguments. The min function compares all the values in the array with the additional arguments and returns the minimum value. In each case, the math.min function returns the minimum value of the input numbers.

ImageMgr.js

GitHub: mbretschn/express-sharp-server

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    let X = res.subset(math.index(0, math.range(0, 4)));
    let Y = res.subset(math.index(1, math.range(0, 4)));

    return {
        w: Math.round(math.max(X) - math.min(X)),
        h: Math.round(math.max(Y) - math.min(Y))
    }
}

+ 27 other calls in file

init-avi-worker.js

GitHub: wix-playground/isolated-vm-demo

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    worker.terminate()
  }

  gc()
  console.log({heapUsed: process.memoryUsage().heapUsed / 1000})
  console.log({min: math.min(RESULTS), max: math.max(RESULTS), median: math.median(RESULTS)})
})()

index.js

GitHub: jly36963/notes

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math.gcd(a, b) // greatest common denominator
math.lcm(a, b) // least common multiple

// stats
math.max(numbers);
math.min(numbers);
math.quantileSeq([1, 2, 3, 4, 5], .5) // value at quantile

math.mean(numbers);
math.median(numbers);

+ 6 other calls in file

index.js

GitHub: sofroniewn/ray-to-line

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  } else if (t0 > 0 & t1<=0){
    // lines colinear and intersecting at origin
    return {startPoint: point, distance:0, angle:0, intersection:point}        
  } else{
    // lines colinear and intersecting
    t = math.min(t0,t1)
    return {startPoint: point, distance:t, angle:0, intersection:[t*r[0]+point[0], t*r[1]+point[1]]}
  }
} else if (a === 0){
  // lines parallel and non intersecting

Statistics.js

GitHub: PauQuintasTorra/api-TFG

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getMax(){
    return math.max(math.flatten(this.matrix));
}

getMin(){
    return math.min(math.flatten(this.matrix));
}

getMean(){
    let mean = 0;

fssController.js

GitHub: Drakmord2/node-swarm-intelligence

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school.forEach((fish) => {
    new_best.push(1/fish.fitness);
});

new_best = mathjs.min(new_best);

if (!best) {
    return new_best;
}

+ 3 other calls in file

index.js

GitHub: Kirigaya-Kazuton/IA

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+ 2 other calls in file

LM.js

GitHub: mljs/optimization

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for(var k=0;k<idx.length;k++){
    hidx[k]=h[idx[k]];
}

p_try = math.add(p ,hidx);                     // update only [idx] elements
p_try = math.min(math.max(p_min,p_try),p_max);          // apply constraints

delta_y = math.subtract(y_dat, func(t,p_try,c));      // residual error using p_try
// func_calls = func_calls + 1;
//X2_try = delta_y' * ( delta_y .* weight_sq ); // Chi-squared error criteria

+ 2 other calls in file

methods-erp.js

GitHub: MissDejavu/bci-video-player

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const std = m.std(rv);

rv = rv.map(v => (v - mean) / std);

const percentage = percentile / 100 / 2;
const min = m.min(rv);
// const min = m.quantileSeq(rv, percentage);
const max = m.max(rv);
// const max = m.quantileSeq(rv, 1 - percentage);
for (let i = 0; i < len; i++) {

diff-2.js

GitHub: Tex-Tang/node-crypto-bot

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  );
}
let currentDiff = diff[diff.length - 1];
let rate = math.abs((candle.close - candle.open) / candle.open);

if (currentDiff == math.min(...diff)) {
  downcandles++;
  upcandles = 0;
}

optimization.js

GitHub: mljs/optimization

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for(var i = 0; i < size + 1; ++i) {
    var vector = vertices[i];
    y.push(f(vector));
}

var low = Util.getIndexRow(y, math.min(y));
var high = Util.getIndexRow(y, math.max(y));
var li = high;
var ho = low;

+ 9 other calls in file

Other functions in mathjs

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mathjs.evaluate is the most popular function in mathjs (87200 examples)

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