Math uses in Real Life Engineering

A.H.Raihan Blog
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Bro, ম্যাথ literally everywhere. তুমি ভাবছো শুধু exam আর CP তে লাগে? Nahhh—real life is fully math-coded. নিচে breakdown দিলাম কোন ধরনের math কোথায় use হয়:



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🔷 1️⃣ Arithmetic & Basic Algebra


Where used:


bazar-shopping


bKash হিসাব


discount calculation


salary/loan


time–distance


cooking measurements



Vibe: real life survival skills.



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🔷 2️⃣ Geometry 

Where used in real life:

land measurement

building design


architecture

map navigation

camera FOV

graphics design

drones & robotics path

game development

animation

computer vision


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🔷 3️⃣ Trigonometry


Where used:

measuring tall buildings using angles


GPS

mobile network towers

3D graphics

sound waves


machine learning (loss functions, angles)

physics simulations

AC–DC circuits


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🔷 4️⃣ Calculus (Differentiation + Integration)


Where used:


speed, acceleration

population growth

stock market prediction

AI/ML optimization

physics motion

engineering designs

area/volume calculation of weird shapes

traffic flow analysis



Real talk: পুরো AI আর neural network calculus ছাড়া অসম্ভব।



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🔷 5️⃣ Linear Algebra (Most OP Modern Math)


Used in:


computer graphics

3D transformations

image processing

facial recognition

crypto

machine learning

deep learning (matrices everywhere)

robotics

physics engine



Basically — your whole modern world = matrices.



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🔷 6️⃣ Probability & Statistics


Where used:


weather forecast


cricket score prediction


medical analysis


AI models


algorithms


fraud detection


polls & surveys


traffic prediction




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🔷 7️⃣ Number Theory


Used in:


cryptography


password hashing


blockchain


compression


competitive programming CP


error detection in networks




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🔥 If You’re a Developer Like You → Here’s the Exact Mapping


Geometry → graphics, UI/UX positioning, game dev, robotics


Linear algebra → machine learning, vision, deep learning


Calculus → optimization in ML


Trigonometry → animations, rotations, 3D


Number theory → security, hashing


Statistics → AI, data analysis




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If you want, I can teach you each of these maths only with real-life examples instead of boring theory.


Want that?

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