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Sri Rama and budha ate pork?

 1. Lord Rama and the Solar Dynasty Lord Rama belonged to the Ikshvaku dynasty, traditionally known as the Suryavamsha (Solar Dynasty). In the Valmiki Ramayana, Ayodhya Kanda, Chapter 2, Verse 52.102, there is a reference to Rama and Lakshmana consuming the meat of animals during their forest exile. The animals mentioned include: - Varaha – Wild boar - Rishya – A type of deer - Prishata – Spotted deer - Maharuru – A large species of deer According to the commonly accepted interpretation of this verse, Rama and Lakshmana consumed the meat of wild boar and deer. 2. Gautama Buddha and the Solar Dynasty Gautama Buddha was born into the Shakya clan. Certain Buddhist genealogical traditions trace the Shakyas back to King Ikshvaku, connecting them with the ancient Suryavamsha (Solar Dynasty). However, the genealogical connection between Lord Rama and Gautama Buddha is not established through historical evidence in exactly the same way. 3. Did Gautama Buddha Eat Pork? This is an important ...
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Exponential Smoothing — Short Theory

 Exponential Smoothing — Short Theory

Exponential Smoothing is a time-series forecasting method used to estimate future demand. It combines the previous forecast with the latest actual demand to prepare a new forecast. More importance can be given to recent demand, while the previous forecast is also considered. This method helps supply chain managers make better decisions about production, inventory, purchasing, and distribution.





Exponential Smoothing — Simple Practical Method


Exponential smoothing means making a new forecast by combining recent actual demand with the previous forecast.


We give importance to both.


Example


Suppose a shop sells masala powder.


Previous forecast = 100 packets


Actual demand = 120 packets



Now we decide:


Give 20% importance to the actual demand


Give 80% importance to the previous forecast



Step 1 — Take 20% of actual demand


20% of 120:


24 packets


Step 2 — Take 80% of previous forecast


80% of 100:


80 packets


Step 3 — Add them together


24 + 80 = 104 packets


So our new forecast is 104 packets.



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What did we actually do?


We did not completely ignore the old forecast.


We also did not completely depend on the latest sales.


Instead, we combined them:


Recent actual demand → 20% → 24 packets


Previous forecast → 80% → 80 packets


New forecast → 104 packets


Simple practical meaning:


> If sales suddenly increase from 100 to 120, we don't immediately assume that the next month's demand will also be 120. We make a balanced forecast using both the previous forecast and the latest actual demand.




That is Exponential Smoothing in the simplest practical sense.


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