📚 This video explains the concept of interpolation using Newton's forward and backward difference formula.

🎯 Interpolation is a method used to estimate the value of a function between two known data points.

🔢 Forward and backward difference formulas are used to approximate the derivatives of a function.

📚 Interpolation is a mathematical technique that allows us to estimate values between known data points.

🔍 Newton's forward difference formula is used to approximate the value of a function at a given point using a set of equidistant data points.

⬅️ Newton's backward difference formula is a variation of the forward difference formula that uses a set of equidistant data points in the opposite direction.

📝 Newton's forward interpolation formula is used to calculate the value of Y.

🧮 The formula involves calculating the factorial and using the forward difference values.

📚 Interpolation is a method used to estimate the values between two known data points.

🔢 Newton's forward and backward difference formula are used for polynomial interpolation.

💻 The video discusses a problem in Tamil related to interpolation.

📕 The video discusses the concept of interpolation and the use of Newton's forward and backward difference formulas.

🧮 Interpolation is a method used to estimate values between known data points, and Newton's formulas provide a way to compute these estimated values.

📝 The video presents a problem in Tamil that demonstrates the application of Newton's forward and backward difference formulas in solving interpolation problems.

The video discusses interpolation and Newton's forward and backward difference formula.

Interpolation is a mathematical technique used to estimate values between known data points.

Newton's forward and backward difference formula are used to derive polynomial functions that approximate a given set of data points.

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